• Support multiple casual mobile games, including Gummy Drop!, Puzzles and Passports, Evermerge, and Cooking Craze.• Build machine learning models and work with engineering teams to productionize model outputs focusing on delivering actionable results quickly, rather than hunting for model perfection.• Evaluate performance of new features and content using A/B testing on experimental data Create game-agnostic tools and applications to streamline data science projects and the onboarding of new games.• Onboard and support new games by creating data tables/views, adding them to data science processes, applications, and models.• Effectively write, present, and communicate results with recommendations.• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources including collecting, assembling, cleansing data, followed by formatting, and validating results.• Proactively perform data exploration to discover innovation and testing opportunities across all games within Big Fish Games’ portfolio.

• Advised, defined, and implemented team strategy for MLB The Show data to ensure a robust understanding of overall user motivations and behaviors.• Led team of Data Scientists, Analysts and Engineers as Interim Lead for 6 months, overseeing a game launch.• Discovered business gaps that could be filled using data science.• Built and maintained machine learning models to understand user segmentation, engagement, and spending behaviors.• Contributed unique ideas to team leadership that provided insights positively impacting game design, quality, and user experience.• Communicated with team members and stakeholders to determine project needs and requirements.• Designed telemetry data hooks to be implemented into the game.• Mined complex quantitative and qualitative datasets and developed reports for projects and ad hoc requests.• Established processes to validate and improve data quality and structure within the data warehouse.• Presented to all levels of Sony Interactive Ent from interns to the CEO.

• Provided insight on Grand Theft Auto V Online and Red Dead Redemption 2 KPIs across various structured and unstructured data sources.• Identified cheating/exploit patterns and created monitoring and descriptive game analytics reporting.• Created monitoring and descriptive game analytics reporting.• Combined qualitative and quantitative data-driven insights with game knowledge.• Communicated and presented findings to stakeholders of varying levels.• Navigated, utilized and analyzed observational data, big data, telemetry, and Streaming Data.

Personal Lines- Research and Development• Created a survival analysis model to predict length of policies and lower onboarding costs.• Delved deeply into a varying array of large data sources and prepared for analysis• Established and systematically performed processes to assess and validate data accuracy• Performed exploratory analysis such as data/text mining, empirical data analysis, univariate analysis, etc.• Ascertained and executed plans to build, implement and maintain predictive models• Translated business needs into established business goals and measures of success• Shared and presented new ideas on analytical techniques and their application to the business• Developed project plans, executed on deliverables within agreed upon time frames, managed deadlines, communicated progress and made recommendations to address issues• Explained results and implications to peers and business partners in order to build a business case• Articulated clear and concise documentation of methods and activities• Presented trainings and workshops to team and actuarial community (90+ attendees)

Social & Economic Impact of Gambling in MA (SEIGMA)- Shiny Project Coordinator, UMASS- Developed and deployed Shiny applications displaying secondary social and economic data in Massachusetts in an easy to understand matter- Supervised team consisting of three graduate research assistants- Wrote, documented and reported methods of displaying data using ShinyApps.io- Trained research assistants and SEIGMA data manager

Graduate Research Assistant, Dr. A Foulkes, UMASS• Analyzed Genome-wide association study (GWAS) data• Worked to identify and develop appropriate techniques for analyzing single nucleotide polymorphisms (SNPs) and disease outcomes• Created tutorial for standardized GWAS analysis methods• Tested different imputation methods and impact on analysis

Graduate Teaching Assistant, PubHlth 391f, UMASS• One of two teaching assistants for Public Health 391f: Introduction to Biostatistics• Oversaw a class of 212 undergraduate students• Held office hours for students to assist with R software and Biostatistic concepts• Administered examinations, wrote homework solutions, graded homework and assisted professor with any additional tasks

Undergraduate Researcher under Dr. G Bourget, CSUF• Investigated, through a Monte Carlo Simulation study, if the classical F-test can still be used in microarray analysis even though assumptions are violated• Wrote Monte Carlo simulation code in R software• Researched and found pertinent journals related to our research• Used LaTex to produce presentation posters • Used LaTex to write two papers for Dimensions, CNSM Journal • Created poster presentation templates in LaTex to be used by future research students

Technical Support Specialist, Play N Trade Franchise, Inc.• Oversaw team of 5 support specialists• Wrote programs for Play N Trade’s Point of Sale (POS) System using Microsoft SQL Server• Supported 200 stores’ digital advertising, POS system, printers, console repairs and other miscellaneous technical support• Formed a new process allowing for 24 hour support• Remotely fixed and documented POS bugs at national and international locations• Created training guides and videos for new support specialists, leading to more productivity